Skip to content
View comicencyclo's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report comicencyclo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
comicencyclo/README.md

Hi there 👋

I am Sandip. I am leading Data Science and ML Engineering at Walmart Marketplace . I am also a part-time Kaggler and currently a 4X Kaggle Expert. You can find me on Kaggle here: https://www.kaggle.com/sandy1112

My Core Competencies:

  • Large Scale Recommender Systems
  • User based Personalization
  • Image Classification
  • Object Detection, Segmentation
  • Sentiment prediction, Span prediction, Sentiment classification
  • Demand Forecasting
  • Market Mix Modeling
  • Multi Touch Attribution
  • Test Control Modeling
  • Pricing & Promo Models
  • Store Clustering
  • Trip Segmentation

Techniques that I have implemented in a hands on manner:

  • Latent Class Models
  • Timeseries Forecasting
  • GLM, HLM
  • State Space Models
  • Decision Tree
  • Random Forest
  • Gradient Boosted & Extreme Gradient Boosted Trees
  • Deep Learning
    • Convolutional Neural Networks
    • Recurrent Neural Networks (LSTM, GRUs)
    • Transformers (BERT, RoBERTa)

My 15+ years of industry experience spans accross:

  • Retail
  • CPG
  • Financial Services
  • QSR and F&B
  • Oil & Gas

Creating 1:1 personalization solutions is an special area of interest to me.

  • 🔭 I’m currently working on Applications of Large Scale ML on Online Marketplace.
  • 👯 I’m looking to collaborate on novel ways to create recommender systems using Deep Learning. Also, I like Computer Vision problems as well and always looking to collaborate on Computer Vision problems.
  • ⚡ Fun fact: As my GitHub name suggests, I am an avid comics reader. This includes comics of all types - English, Hindi, Bengali. Also, creating my own comics strips at leisure is something I love to do.
  • 📫 How to reach me: https://in.linkedin.com/in/sandip1006

Pinned Loading

  1. Book-Reco---Matrix-Factorization-using-SVD-ALS-and-Deep-Learning Book-Reco---Matrix-Factorization-using-SVD-ALS-and-Deep-Learning Public

    The purpose of this repository is to illustrate multiple ways of doing matrix factorization.

    Jupyter Notebook 1

  2. Create_and_Train_Resnet50_from_scratch Create_and_Train_Resnet50_from_scratch Public

    The purpose of this repository is to illustrate how to create and train a ResNet50 from scratch. The actual notebook can be found on my Kaggle profile with the sample data that was used for this.

    Jupyter Notebook 1

  3. TransferLearning_DiscriminativeFineTuning TransferLearning_DiscriminativeFineTuning Public

    The purpose of this repository is to illustrate the implementation of Discriminative Fine Tuning for Transfer learning models in Keras.

    Jupyter Notebook 1

  4. Keras_TestTimeAugmentation Keras_TestTimeAugmentation Public

    The purpose of this repository is to provide Test Time Augmentation abilities to Keras models for application in Image Classification tasks.

    Python 1 1

  5. ML_interpretation_ensembling_for_strctued_data ML_interpretation_ensembling_for_strctued_data Public

    The purpose of this repositiry is to illustrate some methods of interpreting the Machine Learning models (many times also called as Black Box models) for their so called 'Lack of Interpretability. …

    Jupyter Notebook 2

  6. what_a_tree_based_model_sees what_a_tree_based_model_sees Public

    This repository will provide an example of what a tree based classification/Regression model sees. This will provide an intuition behind feature engineering for tree based models. The data used in …

    Jupyter Notebook 1